基于灰色理论的农民增收问题研究——以江苏省为例

以江苏省为例,选取农民人均纯收入、农村固定资产投资水平、人均受教育水平、农业科技水平、城镇化水平、工业化水平、农村居民人均消费水平、人均国内生产总值8个指标,依据2002～2009年《江苏统计年鉴》和江苏省国民经济与社会发展统计公报相关数据,采用灰色理论,分析了影响农民纯收入的因素。结果表明,按影响农民人均纯收入程度从大到小排序,依次是农村居民人均消费水平、城镇化水平、农民受教育水平、工业化水平、人均GDP、农村科技人员数量、乡村固定资产投资水平,即r06〉r04〉r02〉r05〉r07〉r03〉r01。结合具体实际,具体分析了影响农民收入增长各个因素,提出了相应的对策,以期提高农民收入,实现农民增收。 更多还原

Income Growth of Peasants Based on the Theory of Grey Correlation

Taking Jiangsu Province for example and using the relevant data in Jiangsu Statistical Yearbook and Statistical Communique of Jian-gsu Province on National Economic and Social Development during 2002-2009,the thesis selects eight indexes including per capita net income of farmers,the fixed asset investment level in rural areas,average educational level,agricultural scientific and technological level,urbanization level,industrialization level,average consumption level per capita of rural residents and per capita GDP and adopts the theory of grey correlation to analyze the factors influencing the peasants' net income.As shown in the result,the effect on the peasants' net income gives the following subsequence from great to little:average consumption level per capita of rural residents,urbanization level,average educational level,industrialization level,per capita GDP,number of scientific and technical personnel and fixed asset investment level in rural areas,that is,r06>r04>r02>r05>r07>r03>r01.Then combining with the practical conditions,the thesis makes a detailed analysis of each factor influencing the peasant's income growth and proposes corresponding measures in order to improve the peasants' income.